Data Scientist - Time Series Forecasting

JR United Kingdom; London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

A leading media organization is seeking a contract Data Scientist to develop time series forecasting models that predict ad revenue and website traffic. This six-month position emphasizes building robust forecasting models while collaborating cross-functionally to ensure quality delivery and performance. Candidates should possess strong skills in Python and SQL, with experience in cloud environments like GCP being a significant advantage. Join us to leverage your expertise in a dynamic and impactful project.

Qualifications

• Expertise in time series forecasting across daily, weekly, and monthly models.
• Experience in deploying models in cloud environments like GCP.
• Strong skills in Python and SQL for data manipulation.

Responsibilities

• Build and deploy time series forecasting models for digital performance metrics.
• Collaborate with product and marketing teams to define data inputs.
• Ensure models are explainable and production-ready.

Skills

Python

SQL

Time series forecasting

Collaboration

Data validation

Tools

scikit-learn

Pandas

NumPy

GCP

Docker

Kubernetes

Airflow

Tableau

Job description

Contract Data Scientist - Time Series Forecasting

Duration: 6 months

Rate: £600-700/day (Inside IR35)

Location: Hybrid - 1-2 days/week in Central London

Job Description:

We're hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you'll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance.

Key Responsibilities:

• Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
• Work across multiple temporal resolutions (daily, weekly, monthly)
• Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets
• Work with structured web analytics and revenue data in a cloud environment
• Ensure models are robust, explainable, and production-ready

Tech Environment:

• Python (NumPy, Pandas, scikit-learn)
• SQL
• GCP (BigQuery, Cloud Functions)
• Deployment: Docker, Kubernetes, Airflow
• Git, CI/CD pipelines
• Tableau (optional)

Requirements:

• Proven expertise in time series forecasting at multiple granularities
• Strong Python and SQL skills
• Experience deploying models into production in a cloud environment (GCP preferred)
• Ability to work independently and manage delivery from end to end
• Strong communication skills for cross-team collaboration

Desired Skills and Experience:

Time series forecasting, temporal modelling, Python, SQL, scikit-learn, Pandas, NumPy, Prophet, GCP, cloud deployment, productionising models, data pipelines, model validation, stakeholder collaboration, media data.